Research Article
Goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation
@INPROCEEDINGS{10.1007/978-3-319-77818-1_8, author={Wei Liu and Shuang Li and Jing Wang}, title={Goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 6th International Conference, ICCASA 2017, and 3rd International Conference, ICTCC 2017, Tam Ky, Vietnam, November 23-24, 2017, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2018}, month={3}, keywords={GCC Agent capability Semantical match Context state AGV}, doi={10.1007/978-3-319-77818-1_8} }- Wei Liu
Shuang Li
Jing Wang
Year: 2018
Goal-Capability-Commitment Based Context-Aware Collaborative Adaptive Diagnosis and Compensation
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-319-77818-1_8
Abstract
Agent commitments as a protocol among the participants to melding collaborative patterns typically defined at design-time may not fit the need of collective adaptive systems (CASs). In this paper we propose a Goal-Capability-Commitment (GCC) based context aware collaborative adaptive diagnosis and compensation approach. First, we give a formal and semantic representation of GCC model and define semantic match relations between goals and capabilities/commitments. Second, diagnosing rules are proposed to determine the failures of capabilities and commitments. Third, a generation algorithm apply the capabilities in commitment generation and optimization to verify whether the agent and its partner can collaborate in order to achieve the desired goal under current environment. At last, two experiments over the simulated scenario of automated hospital cart transportation system provide an empirical evaluation of GCC approach.